LEADER 01035nam--2200385---450- 001 990003114680203316 005 20080604161629.0 010 $a2-259-00343-5 035 $a000311468 035 $aUSA01000311468 035 $a(ALEPH)000311468USA01 035 $a000311468 100 $a20080604d1978----km-y0itay50------ba 101 $afre 102 $aFR 105 $a||||||||001yy 200 1 $aAntonin Artaud$fThomas Maeder$gtraduit de l'americain par Janine Delpech 210 $aParis$cPlon$d1978 215 $a314 p., 16 c. di tav.$d24 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aArtaud,$bAntonin 700 1$aMAEDER,$bThomas$0155366 702 1$aDELPECH,$bJanine 801 0$aIT$bsalbc$gISBD 912 $a990003114680203316 951 $aII.4.B.15$b2844 DSLL 959 $aBK 969 $aDSLL 979 $aDSLL$b90$c20080604$lUSA01$h1615 979 $aDSLL$b90$c20080604$lUSA01$h1616 996 $aAntonin Artaud$9469254 997 $aUNISA EXT $xBiografia LEADER 06209nam 2200625Ia 450 001 9910739437303321 005 20200520144314.0 010 $a4-431-54331-7 024 7 $a10.1007/978-4-431-54331-2 035 $a(CKB)2670000000406503 035 $a(EBL)1398991 035 $a(SSID)ssj0000958055 035 $a(PQKBManifestationID)11485123 035 $a(PQKBTitleCode)TC0000958055 035 $a(PQKBWorkID)10986192 035 $a(PQKB)10147829 035 $a(DE-He213)978-4-431-54331-2 035 $a(MiAaPQ)EBC1398991 035 $a(PPN)172432138 035 $a(EXLCZ)992670000000406503 100 $a20130626d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMethods in neuroethological research /$fHiroto Ogawa, Kotaro Oka, editors 205 $a1st ed. 2013. 210 $aTokyo ;$aNew York $cSpringer$d2013 215 $a1 online resource (172 p.) 300 $aDescription based upon print version of record. 311 $a4-431-54673-1 311 $a4-431-54330-9 320 $aIncludes bibliographical references and index. 327 $aPreface; Contents; Part I: Behavioral Analysis; Chapter 1: Behavioral Analysis in Caenorhabditis elegans; 1.1 Introduction: C. elegans as a Model Organism for Behavioral Analysis; 1.2 Population Analysis; 1.2.1 Protocol of Population Analysis; 1.2.2 Analysis for Thermotaxis as an Example of Population Assay; 1.3 Single Animal Analysis; 1.3.1 Conventional Methods of Single Animal Observation; 1.3.2 Computerized Methods; 1.4 Use of GECIs; 1.4.1 Principles of GECIs; 1.4.2 An Example of Calcium Imaging with GECI; 1.5 Simultaneous Monitoring for Behavior and Neural Activity; 1.6 Conclusion 327 $aReferencesChapter 2: Classical Conditioning of the Proboscis Extension Reflex in the Honeybee; 2.1 Introduction; 2.2 Preparation for the Experiment; 2.2.1 Materials; 2.2.2 Honeybees; 2.2.3 Pyramid for Catching Bees; 2.2.4 Harness Tubes and Tube Rack; 2.2.5 Odorants; 2.2.6 Odor Ventilation; 2.2.7 Olfactory Stimulation (CS); 2.2.8 Sucrose Solution (Reward US); 2.3 Protocol for Absolute Classical Conditioning; 2.3.1 Catching and Harnessing Bees in Harness Tubes; 2.3.2 Feeding Bees; 2.3.3 Absolute Conditioning; 2.3.4 Keeping Bees Between Training and Retention Tests; 2.3.5 Memory Retention Test 327 $a2.3.6 Response Check for Sucrose Solution2.3.7 Unpaired Conditioning; 2.3.8 Differential Classical Conditioning; 2.3.9 Data Collection and Making Graphs; 2.3.10 Data Analysis; 2.4 Research on Honeybee Learning and Memory Using Olfactory Classical Conditioning of PER; 2.5 Other Forms of PER Conditioning in Honeybees; 2.6 Conclusion; Appendix A Column: History of a Classical Conditioning of PER in Honeybees; References; Part II: Electrophysiology 327 $aChapter 3: Mining Spatio-Spectro-Temporal Cortical Dynamics: A Guideline for Offline and Online Electrocorticographic Analyses: Mining Cortical Dynamics from ECoG Data3.1 Introduction; 3.2 Offline Analysis; 3.2.1 Independent Component Analysis; Preprocessing Before ICA; Model Order and Component Selections; ICA Algorithms; Reliability of ICA Estimations; 3.2.2 Time-Frequency Representations; 3.2.3 Connectivity Measures; Preprocessing Before Connectivity Measures; Window Length and Model Order Selections; Spectral Functional Connectivity Measures; Spectral Effective Connectivity Measures 327 $a3.2.4 Statistical SignificanceNumerical Approaches for Statistical Significance; Reliability of Connectivity Measures; 3.3 Online Analysis; 3.3.1 Filter Approach; 3.3.2 Wrapper Approach; 3.3.3 Integration Approach; 3.4 Conclusion; References; Chapter 4: Computational Analysis of Behavioural and Neural Data Through Bayesian Statistical Modelling; 4.1 Introduction; 4.2 Bayesian Statistical Modelling; 4.3 Sound Localization in Barn Owls; 4.4 Neural Encoding and Population Vector Decoding; 4.5 Probabilistic Population Codes; 4.6 Correlated Tuning Curves; References 327 $aPart III: Optical Recording Techniques 330 $aThe rapid progress of neuroscience in the last decade can be largely attributed to significant advances in neuroethology, a branch of science that seeks to understand the neural basis of natural animal behavior. Novel approaches including molecular biological techniques, optical recording methods, functional anatomy, and informatics have brought drastic changes in how the neural systems underlying high-level behaviors such as learning and memory are described. This book introduces recent research techniques in neuroethology, with diverse topics involving nematodes, insects, and vertebrates (birds, mice and primates), divided into sections by research method. Each section consists of two chapters written by different authors who have developed their own unique approaches. Reports of research in ?model animals? including C. elegans, Drosophila, and mice, which were not typical specimens in conventional neuroethology, have been deliberately selected for this book because a molecular genetic approach to these animals is necessary for advances in neuroethology. Novel methodology including optical recording and functional labeling with reporter genes such as GFP has been actively used in recent neurobiological studies, and genetic manipulation techniques such as optogenetics also are powerful tools for understanding the molecular basis of neural systems for animal behavior. This book provides not only these new strategies but also thought-provoking statements of philosophy in neuroethology for students and young researchers in the biological sciences.                                 . 606 $aNeurosciences$xMethodology 606 $aNeuropsychology$xMethodology 615 0$aNeurosciences$xMethodology. 615 0$aNeuropsychology$xMethodology. 676 $a591.5072 701 $aOgawa$b Hiroto$01757227 701 $aOka$b Kotaro$01757228 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739437303321 996 $aMethods in neuroethological research$94195004 997 $aUNINA